📢 BMVA Symposium: Synthetic Data for Machine Learning 🎉🚀 Join BMVA symposium in London, UK, on Wednesday, 8th November 2023! 🇬🇧 👥 Chairs: Abdulrahman Kerim - UCA, Leandro Marcolino – Lancaster University, Erickson Nascimento - Microsoft 📅 rb.gy/ty6zu 🎟️

My PhD student, Mário Escarce Junior, just presented "The Aesthetics of Disharmony: Harnessing Sounds and Images for Dynamic Soundscapes Generation" at CHI-Play 2023. You can find our work at dl.acm.org/doi/10.1145/36…. Video demo of our system available at youtube.com/watch?v=P-hR1y….

Our work "Scale-Invariant Reinforcement Learning in Real-Time Strategy Games" was accepted at SBGames, the Brazilian conference in digital games. Great collaboration with Luiz Chaimowicz's students and Anderson Tavares. We were selected for the best papers track :) Final version soon.

My PhD student, Abdulrahman Kerim, PhD, had a paper accepted at WACV, congratulations :) The paper shows a new algorithm that uses synthetic data to better stabilize (real) videos under adverse weather conditions. Final version will be available soon.

I am co-organising the "Synthetic Data for Machine Learning" Symposium, November 8, in the British Computer Society (BCS), London. Join us for a day of discussions with great speakers about the exciting potentials of synthetic data. More information: bmva.org/meetings/23-11…

Finally updated my website with all my recent publications! :) You can now find them at: wp.lancs.ac.uk/colab/publicat…

I am co-chairing the BMVA Synthetic Data for Machine Learning Symposium. It's a thought-provoking event that will take place on Wednesday, November 8, 2023. It is hosted at the prestigious British Computer Society (BCS) venue, located at 25 Copthall Avenue, London EC2R 7BP.

Northern dlvr.it/SzJFXQ

I'm extremely happy to share that yesterday I successfully defended my PhD dissertation titled "Text-driven Video Acceleration: Using Visual-Textual Representations to Detect Semantics in Videos".

I've spent a really great time with all my friends and colleagues at UFMG and LU, and I'm thankful for every single second spent on this project. Special thanks to my advisors @ericksonrn_ and Leandro Soriano Marcolino, and everyone I collaborated with.

Quer ganhar um livro de romance escrito por um dos nossos ex-alunos? Então participe do sorteio do livro "Vida", de autoria do Leandro Soriano Marcolino, no instagram Dan Casimiro.ufmg . #dccufmg . 🔗 linktr.ee/dccufmg

My #NeurIPS2024 paper "Information-guided Planning: An Online Approach for Partially Observable Problems" will be in the poster session tomorrow! It's available at eprints.lancs.ac.uk/id/eprint/2087…. It handles better sparse rewards, by also considering the entropy during decision-making.

Our work "Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond" was accepted at Neural Networks. It presents a Bayesian-optimization approach for attacking video classifiers, which allow us to train more robust models. authors.elsevier.com/c/1iF0b3BBjKnv…

My PhD student, Mário Escarce, defended his thesis "Exploring the Intersection of Human-Machine Creativity for Dynamic Generation of Arts, Music, and Games". He will take a post-doc position at UC Santa Cruz. Congratulations! Thanks Haris Rotsos, Abe Karnik, and Fabricio Goes!

Our paper "Reward Certification for Policy Smoothed Reinforcement Learning" was accepted at AAAI! It shows a novel technique to certify the reward of robust RL. It's one of those special cases where the paper is accepted at a top venue in the first submission. Final version soon.

Double success at #AAMAS2024 :) “It Is Among Us: Identifying Adversaries in Ad-hoc Domains Using Q-valued Bayesian Estimations” and “Incentive-based MARL Approach for Commons Dilemmas in Property-based Environments” are both accepted! Final versions are coming soon.

Happy to see that my work "Multi-agent team formation: Diversity beats strength?", about the importance of diversity in a team of voting agents, has now more than 100 citations! :) scholar.google.com/citations?view…

My student with yara Elkhatib, Matheus Aparecido do Carmo Alves, successfully defended his PhD "Monte-Carlo Based Online planning Under Partial Observability". He will now take a position at USP, a prestigious university in Brazil. Thanks examiners and chair Luiz Chaimowicz, David Leslie, and Ruslan Mitkov.

Another PhD success: Abdulrahman Kerim, PhD defended his thesis "Synthetic Data for Machine Learning" in an intensive viva with hossein rahmani, Renato Martins, and phil benachour as chair. Great work with @ericksonrn_ and Richard Jiang. He is already an assistant professor at UCA. Congratulations

Marcelo Lemos, my master student with UFMG, defended his work Towards a Scale-Invariant Reinforcement Learning Model for RTS. Congratulations! Thanks for the collaboration, Anderson Tavares, Luiz Chaimowicz, Ronaldo Vieira. And thanks for @ericksonrn_, and Levi Lelis for joining the panel.